User profiles for J. Hoffman

Jay R. Hoffman

- Verified email at ariel.ac.il - Cited by 28354

Judy Hoffman

- Verified email at gatech.edu - Cited by 28310

Jeanne M. Hoffman

- Verified email at uw.edu - Cited by 19576

American College of Sports Medicine position stand. Progression models in resistance training for healthy adults.

…, JR Hoffman, RU Newton, J Potteiger… - Medicine and science …, 2002 - europepmc.org
In order to stimulate further adaptation toward a specific training goal (s), progression in the
type of resistance training protocol used is necessary. The optimal characteristics of strength-…

The incidence of congenital heart disease

JIE Hoffman, S Kaplan - Journal of the American college of cardiology, 2002 - jacc.org
This study was designed to determine the reasons for the variability of the incidence of
congenital heart disease (CHD), estimate its true value and provide data about the incidence of …

[HTML][HTML] Protein–which is best?

JR Hoffman, MJ Falvo - Journal of sports science & medicine, 2004 - ncbi.nlm.nih.gov
Protein intake that exceeds the recommended daily allowance is widely accepted for both
endurance and power athletes. However, considering the variety of proteins that are available …

Environmental genome shotgun sequencing of the Sargasso Sea

…, K Nealson, O White, J Peterson, J Hoffman… - science, 2004 - science.org
We have applied “whole-genome shotgun sequencing” to microbial populations collected
en masse on tangential flow and impact filters from seawater samples collected from the …

[HTML][HTML] Peginterferon alfa-2a plus ribavirin for chronic hepatitis C virus infection

…, A Craxi, A Lin, J Hoffman, J Yu - New England journal …, 2002 - Mass Medical Soc
Background Treatment with peginterferon alfa-2a alone produces significantly higher sustained
virologic responses than treatment with interferon alfa-2a alone in patients with chronic …

Decaf: A deep convolutional activation feature for generic visual recognition

…, Y Jia, O Vinyals, J Hoffman… - International …, 2014 - proceedings.mlr.press
We evaluate whether features extracted from the activation of a deep convolutional network
trained in a fully supervised fashion on a large, fixed set of object recognition tasks can be re-…

[HTML][HTML] Towards complete and error-free genome assemblies of all vertebrate species

…, RS Harris, KD Makova, P Medvedev, J Hoffman… - Nature, 2021 - nature.com
High-quality and complete reference genome assemblies are fundamental for the application
of genomics to biology, disease, and biodiversity conservation. However, such assemblies …

Cycada: Cycle-consistent adversarial domain adaptation

J Hoffman, E Tzeng, T Park, JY Zhu… - International …, 2018 - proceedings.mlr.press
Abstract Domain adaptation is critical for success in new, unseen environments. Adversarial
adaptation models have shown tremendous progress towards adapting to new …

A comparison of methods to test mediation and other intervening variable effects.

DP MacKinnon, CM Lockwood, JM Hoffman… - Psychological …, 2002 - psycnet.apa.org
A Monte Carlo study compared 14 methods to test the statistical significance of the intervening
variable effect. An intervening variable (mediator) transmits the effect of an independent …

Adversarial discriminative domain adaptation

E Tzeng, J Hoffman, K Saenko… - Proceedings of the …, 2017 - openaccess.thecvf.com
Adversarial learning methods are a promising approach to training robust deep networks,
and can generate complex samples across diverse domains. They can also improve …